A cloud workflow system is a type of platform service which facilitates the automation of
distributed applications based on the novel cloud infrastructure. One of the most important …

Workflow scheduling is a key issue and remains a challenging problem in cloud computing.
Faced with the large number of virtual machine (VM) types offered by cloud providers, cloud …

In heterogeneous distributed computing systems like cloud computing, the problem of
mapping tasks to resources is a major issue which can have much impact on system …

Efficient task and workflow scheduling are very crucial for increasing performance, resource
utilization, customer satisfaction, and return of investment for cloud service providers. Based …

Workflows are adopted as a powerful modeling technique to represent diverse applications
in different scientific fields as a number of loosely coupled tasks. Given the unique features …

There have been a number of metaheuristic scheduling techniques for cloud described in
the literature, as well as their applications. The efficiency of metaheuristic techniques has …

Workflow Scheduling (WFS) mainly focuses on task allocation to achieve the desired
workload balancing by pursuing optimal utilization of available resources. At the same time …

Workflows have been used to represent a variety of applications involving high processing
and storage demands. As a solution to supply this necessity, the cloud computing paradigm …

Scientific workflows, like other applications, benefit from the cloud computing, which offers
access to virtually unlimited resources provisioned elastically on demand. In order to …

With the increasing popularity of Internet of Things (IoT), edge computing has become the
key driving force to provide computing resources, storage and network services closer to the …